NYC Victim Analysis

Shuo Han

Dataset

Data resource

This data set includes all valid felony, misdemeanor, and violation crimes reported to the New York City Police Department (NYPD) from 2006 to the present.

I have always wanted to go to either work or live in New York. Why don’t I just do some analysis of the city of New York?

I want to see what it is like during the past entire year. So I did a little filter on the website to get the date for the year 2021.

Missing values Analysis

If we read the definition of these variables with high percentage, we can understand why there are large proportions missing values in each of them. Also, there are many Left missing variables. But I think they can still be used in the following analysis since the proportion is small and we can ignore the missing part. Missing data Reference

Plot-trend in year 2021

Conclusion

We can see daily trends in crime figures for five regions. I did find very similar trends across the five counties. The trough occurs between 5 and 7 o ’clock and the peak occurs between 15 and 19 o ’clock. In addition, we included the gender of the victim in the figure to show more concern for gender differences. Unfortunately, in these five counties, women are more vulnerable than men at the same time of day. At night, however, from approx. From 22:00 to 5:00, men are just as vulnerable as women. In Staten Island, that conclusion was less pronounced, while men and women in the other four counties committed nearly the same number of crimes.

Crime numbers vs category of crimes

Conclusion

The incidences of harassment are outstandingly high among all types of crimes, with that assault and petit larceny being the next highest. All these three types of crimes are not severe and are still a big part of social problems now in 2021. Another outstanding group is the 25-44 age group, with the largest number of victims among all the age groups. In addition, it can also be easily seen that Staten Island has the lowest incidents among all types of crimes.

Portraits of suspects and victims

Conclusion

From the graph above, we can directly understand that crimes in NYC happen to women more than men; as for the suspect number, the number of male suspects is 3 times that of women. In addition, it is not hard to see that in male and female suspects, their targets both focus more on women. Certainly, there is no gender opposition in crimes, but we do see women are always the vulnerable group. We have understood that there is a specific age structure in the whole population and we do not gather related information, but we do see that in NYC, compared between victims and suspects, old people aged from 45 to 64 are more vulnerable.

Thank you